Full Stack Engineer - AI Applications - A26283
Activate Interactive Pte Ltd (“Activate”) is a leading technology consultancy headquartered in Singapore with a presence in Malaysia and Indonesia. Our clients are empowered with quality, cost-effective, and impactful end-to-end application development, like mobile and web applications, and cloud technology that remove technology roadblocks and increase their business efficiency.
We believe in positively impacting the lives of people around us and the environment we live in through the use of technology. Hence, we are committed to providing a conducive environment for all employees to realize their full potential, who in turn have the opportunity to continuously drive innovation.
We are searching for our next team members to join our growing team.
If you love the idea of being part of a growing company with exciting prospects in mobile and web technologies that create positive impact on people’s lives, then we would love to hear from you.
This is a 12 months fixed-term contract role.
What will you do?
We are looking for hands-on AI Application Engineers with strong AI literacy to help JTC solve the AI democratisation problem: many teams are building promising AI prototypes with high enthusiasm, but most are not yet ready for production. The answer is not to stop vibe coding or slow down experimentation, but to create a controlled path from prototype to production with clear ownership, prioritisation, engineering hardening and reusable platform patterns.
This role sits within the AI Portfolio & Acceleration Squad in JTC’s Platform & Software Engineering Division and supports the organisation’s move towards governed, scalable and responsible AI adoption. The successful candidate will work across business users, product owners, platform engineers, data teams, cyber/security, privacy and operations stakeholders to assess, rebuild, harden and productise high-value AI use cases at pace. The role requires strong software engineering fundamentals, practical fluency with AI-assisted development tools, and the ability to use AI to scale engineering throughput, shorten delivery cycles and accelerate MVP-to-production conversion while maintaining production discipline, security, compliance, observability and long-term supportability.
Key Responsibilities
1. Refactor prototypes and vibe-coded applications into production-grade solutions with clean architecture, maintainable code, secure authentication, robust APIs and automated deployment pipelines.
2. Design, build and harden AI-enabled applications, including chatbots, RAG solutions, workflow assistants, agents, automation tools and AI-assisted business applications.
3. Work with product owners and business stakeholders to clarify use-case outcomes, user journeys, operational ownership, adoption metrics and production-readiness requirements.
4. Implement full-stack application capabilities across frontend, backend, APIs, data integration, authentication, authorization, logging and monitoring.
5. Integrate applications with approved AI services such as Azure OpenAI, Azure AI Foundry, Azure AI Search, Azure Machine Learning, Microsoft Graph, enterprise APIs and internal data sources.
6. Apply secure and responsible AI application patterns, including prompt management, retrieval grounding, input/output controls, human-in-the-loop design, auditability and content safety controls.
7. Develop reusable implementation patterns, starter templates and engineering playbooks for AI application delivery across common use cases.
8. Support production-readiness assessments covering security, privacy, data classification, model behaviour, observability, cost, support model and operational handover.
9. Build automated test suites for AI applications, including functional tests, regression tests, prompt evaluation, response quality checks and guardrail validation.
10. Implement observability for AI applications, including application logs, model usage, latency, token consumption, errors, user feedback, cost and key business metrics.
11. Collaborate with platform engineers to deploy AI applications using approved cloud patterns, CI/CD pipelines, containerization, API management, secrets management and monitoring baselines.
12. Document solution designs, operating procedures, reusable patterns, known limitations and support guides to ensure applications are maintainable after go-live.
Requirements
Required Skills and Experience
1. 7+ years of hands-on software engineering experience, including experience building, deploying and supporting enterprise or cloud-native applications.
2. Strong full-stack engineering capability using modern frontend, backend and API development frameworks such as React, TypeScript, Node.js, Python, .NET, Java or equivalent technologies.
3. Hands-on experience designing and integrating REST APIs, backend services, databases, authentication mechanisms and enterprise application integrations.
4. Practical experience building AI-enabled applications using large language models, RAG patterns, prompt engineering, embeddings, vector search, agents, workflow automation or AI orchestration frameworks.
5. Working knowledge of Azure AI services such as Azure OpenAI, Azure AI Foundry, Azure AI Search, Azure Machine Learning, Azure App Service, Azure Container Apps, API Management, Key Vault, Azure Monitor and Log Analytics.
6. Experience applying secure software development practices, including input validation, secrets management, least-privilege access, dependency scanning, logging, error handling and secure configuration.
7. Experience with modern authentication and authorization standards, including OAuth 2.0, OpenID Connect, SAML, JWT, RBAC and enterprise identity integration using Microsoft Entra ID.
8. Hands-on experience with CI/CD pipelines using Azure DevOps, GitHub, GitHub Actions, ShipHATS or equivalent platforms.
9. Familiarity with containerisation, cloud deployment patterns, environment promotion, deployment rollback and production support practices.
10. Ability to assess prototype quality and determine what must be rebuilt, hardened, monitored or redesigned before production release.
11. Good understanding of AI risks, including hallucination, data leakage, prompt injection, unsafe tool use, policy bypass, privacy risks and poor explainability.
12. Strong documentation, communication and stakeholder management skills, with the ability to explain technical design choices and production trade-offs clearly.
13. Comfortable working in an agile, product-oriented environment where solutions are delivered iteratively and improved through user feedback, platform patterns and governance review.
Preferred Skills
1. Experience building chatbots, knowledge assistants, workflow agents, document intelligence solutions, recommendation assistants or AI-enabled internal tools.
2. Experience working with AI application frameworks such as LangChain, Semantic Kernel, LlamaIndex, AutoGen, CrewAI or equivalent orchestration tools.
3. Experience with vector databases or search technologies such as Azure AI Search, PostgreSQL with pgvector, Cosmos DB, Pinecone or similar platforms.
4. Experience with AI evaluation, prompt testing, red teaming, safety evaluations, grounding quality checks or responsible AI controls.
5. Experience integrating with Microsoft 365, SharePoint, Teams, Microsoft Graph, Power Platform or enterprise workflow systems.
6. Familiarity with public sector cloud environments, government security requirements, data classification, privacy and compliance obligations.
7. Exposure to observability, SRE practices, incident response, service health dashboards and production support models.
8. Experience using AI-assisted development tools such as GitHub Copilot, Microsoft Copilot, Claude, ChatGPT Enterprise or equivalent tools to improve engineering productivity, testing and documentation.
What Success Looks Like
1. High-value AI prototypes move from experiment to production through a clear, repeatable and governed delivery path.
2. Vibe-coded applications are refactored into secure, maintainable and supportable solutions with accountable owners.
3. AI applications have clear business outcomes, user journeys, adoption metrics, operating models and support arrangements.
4. Common AI application patterns are reusable across teams, reducing duplicated engineering effort and one-off implementations.
5. Security, privacy, responsible AI, monitoring and operational controls are built into applications before go-live.
6. Product owners and business teams can understand the trade-offs between speed, risk, cost, quality and long-term supportability.
7. AI applications deployed into production are observable, auditable, cost-aware and aligned to enterprise platform standards.
Benefits
What do we offer in return?
- Fun working environment
- Employee Wellness Program
- To work in Singapore Government Agencies projects
- We provide structured development framework and growth opportunities. (We are a “SHRI 2025 Gold winner” in “Learning & Development; Coaching & Mentoring”)
Why you'll love working with us?
If you are looking for opportunities to collaborate with leading industry experts and be surrounded by highly motivated and talented peers, we welcome you to join us. We provide all employees with equal opportunities to grow and develop with us. We believe your success is our success.
Does it sound like something you are interested in exploring further? Please be in touch with our team for an initial chat at [email protected]
Activate Interactive Singapore is an equal opportunity employer. Employment decisions will be based on merit, qualifications and abilities. Activate Interactive Pte Ltd does not discriminate in employment opportunities or practices on the basis of race, colour, religion, gender, sexuality, national origin, age, disability, marital status or any other characteristics protected by law.
Protecting your privacy and the security of your data are longstanding top priorities for Activate Interactive Pte Ltd.
Your personal data will be processed for the purposes of managing Activate Interactive Pte Ltd’s recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results, and as is otherwise needed in the recruitment and hiring processes.
Please consult our Privacy Notice (https://www.activate.sg/privacy-policy) to know more about how we collect, use, and transfer the personal data of our candidates. Here you can find how you can request for access, correction and/or withdrawal of your Personal Data.